Bibliographic record
Abstract
In this report the property right structures surrounding tropical forest management are analyzed with a specific case study presented on tropical forests in Honduras. In order to adequately understand the set of property rights in place surrounding tropical forests, the applicable sets of property rights are laid out and explained (private, common, state, and open access). It is argued that the current property rights regimes in place surrounding tropical forests are inadequate and are the issue leading to high levels of deforestation. Conflicts and controversies surrounding the issue are presented for a counterargument and separate view of the issue. It was found that the current property rights regime in Honduras is inadequate for effective resource management as it lacks enforceability along with structure and is the prominent issue surrounding tropical deforestation. Private property rights were the most effective form of property rights found for maintaining natural resources, and it is therefore recommended that private ownership be instilled upon tropical forests to reduce the rate of deforestation. Free Market Environmentalism (FME) is offered as a solution to the current methodology for the management of tropical forests, as it advocates for private ownership and an enforceable set of rights. Therefore, it is recommended that a private property rights regime following the FME methodology replace existing state property rights in order to stem the tide of tropical deforestation.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.002 | 0.005 |
| Scholarly communication | 0.004 | 0.004 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.004 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".